Circadian Workbench
Circadian Workbench is a local-first desktop application for circadian activity analysis. It imports supported ClockLab and tabular recordings, provides core rhythm views plus a 21-question non-cohort workbench, and preserves settings and provenance in project, result, figure, and recovery outputs.
Install
pip install "circadian-workbench[desktop]"
circadian-workbench-desktop
Python 3.10 or newer is required. The application runs only on the local machine; it has no account, login, hosted-service, or data-upload requirement.
Ask one question
No Python is needed:
circadian ask mouse01.awd period
circadian --list-questions
The same scientific engine is available through a small Python front door:
import circadian_workbench as cw
result = cw.open("mouse01.awd").period("lomb")
print(result.answer)
Numeric traces do not need to be turned into files or pandas DataFrames:
result = cw.trace(hours, values, name="cell 17").compare_periods()
result.show()
See the installed Callers and automation guide for populations, phases, measurement channels, result fields, errors, provenance and the version 1 local web application programming interface.
Main capabilities
- Actograms, profiles, onset/offset fits, fixed cosinor, non-parametric measures, spectral estimators, bouts, and quality checks.
- Period comparison, rhythmicity, instantaneous phase, entrainment and perturbation, immobility sleep, ultradian rhythm, temperature compensation, within-recording synchrony/spatial/coupling analyses, prospective power, and model prediction.
- Editable SVG and vector PDF publication bundles with exact plotted data and embedded ReproFig provenance.
- Verified application snapshots and disposable restore rehearsal.
- Public task-oriented documentation, also installed with the application, and machine-readable scientific action contracts.
Scientific status
This is beta research software. The distribution distinguishes implemented and internally tested methods from independent validation. Retain original recordings, inspect warnings, and verify outputs for the intended use.
Complete multi-recording experimental management is reserved for a future separately agreed workflow.
Released under the MIT License.
Release files for circadian-workbench 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| circadian_workbench-0.7.0.tar.gz | 4.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| circadian_workbench-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.8 MB
Release files / circadian_workbench-0.7.0.tar.gz
| Download URL | circadian_workbench-0.7.0.tar.gz |
|---|---|
| Size | 4.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
092cfbe6d63ec207516d331448bb64d86cf5c9b89e47220660ade02755e97ed6
|
|
BLAKE2b-256 checksum How to use checksums |
e443bb7832116c84917ef4d1b27cacf074f58a6803e72566474e55c2f5827e14
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 8, 2026.
Transparency logRelease files / circadian_workbench-0.7.0-py3-none-any.whl
| Download URL | circadian_workbench-0.7.0-py3-none-any.whl |
|---|---|
| Size | 4.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d2f66771b3d9a6d944bbf5df989d7752ba04d19e6c47f375fdd330b1edd7a7d2
|
|
BLAKE2b-256 checksum How to use checksums |
a71c9944783b02ff077efa2f50cfb6b8acc01344cbfb4da3534e5aff59862e5f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 8, 2026.
Transparency log